Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm

Zeqiu Li; Wenli Du; Liang Zhao; Feng Qian

doi:10.1016/j.cjche.2015.01.013

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Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm

过程系统工程与过程安全 | Updated：2026-01-06

- Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm
- Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm
- 中国化学工程学报（英文版） 2015年23卷第8期页码：1350-1356
- Affiliations：
  
  Key Laboratory of Advanced Control and Optimization for Chemical Process, Ministry of Education, East China University of Science and Technology,Shanghai,China,200237
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.01.013
  中图分类号：
- 纸质出版：2015
- Accepted：
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Zeqiu Li, Wenli Du, Liang Zhao, 等. Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm[J]. 中国化学工程学报（英文版）, 2015,23(8):1350-1356.

Zeqiu Li, Wenli Du, Liang Zhao, Feng Qian. Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm[J]. Chin.J.Chem.Eng., 2015, 23(8): 1350-1356.
Zeqiu Li, Wenli Du, Liang Zhao, 等. Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm[J]. 中国化学工程学报（英文版）, 2015,23(8):1350-1356. DOI： 10.1016/j.cjche.2015.01.013.

Zeqiu Li, Wenli Du, Liang Zhao, Feng Qian. Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm[J]. Chin.J.Chem.Eng., 2015, 23(8): 1350-1356. DOI： 10.1016/j.cjche.2015.01.013.

摘要

Abstract

Synthesis and optimization of utility system usually involve grassroots design

retrofitting and operation optimization

which should be considered in modeling process. This paper presents a general method for synthesis and optimization of a utility system. In this method

superstructure based mathematical model is established

in which different modeling methods are chosen based on the application. A binary code based parameter adaptive differential evolution algorithm is used to obtain the optimal configuration and operation conditions of the system. The evolution algorithm and models are interactively used in the calculation

which ensures the feasibility of configuration and improves computational efficiency. The capability and effectiveness of the proposed approach are demonstrated by three typical case studies.

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